1 00:00:00,905 --> 00:00:04,418 We need to build a weather service for water, 2 00:00:04,418 --> 00:00:07,815 yet until we collectively demand accountability, 3 00:00:07,815 --> 00:00:10,651 the incentives to fund it will not exist. 4 00:00:11,925 --> 00:00:16,980 The first time I spoke at a conference was here at TED eight years ago. 5 00:00:16,980 --> 00:00:19,220 Fresh out of grad school, little did I know 6 00:00:19,220 --> 00:00:21,097 that in those few minutes onstage 7 00:00:21,097 --> 00:00:24,095 I was framing the questions I was going to be asked 8 00:00:24,095 --> 00:00:25,798 for the next decade. 9 00:00:25,798 --> 00:00:28,454 And, like too many 20-somethings, 10 00:00:28,454 --> 00:00:30,897 I expected to solve the world's problems, 11 00:00:30,897 --> 00:00:33,641 more specifically the world's water problems, 12 00:00:33,641 --> 00:00:35,185 with my technology. 13 00:00:36,116 --> 00:00:38,469 I had a lot to learn. 14 00:00:38,469 --> 00:00:40,323 It was seductive, 15 00:00:40,323 --> 00:00:44,717 believing that our biggest water quality problems persist 16 00:00:44,717 --> 00:00:47,763 because they're so hard to identify, 17 00:00:47,763 --> 00:00:51,004 and I presumed that we just needed 18 00:00:51,004 --> 00:00:54,021 simpler, faster, and more affordable sensors. 19 00:00:54,603 --> 00:00:56,359 I was wrong. 20 00:00:57,080 --> 00:00:59,099 While it's true 21 00:00:59,099 --> 00:01:01,823 that managing tomorrow's water risk 22 00:01:01,823 --> 00:01:05,753 is going to require better data and more technology, 23 00:01:05,753 --> 00:01:10,997 today we're barely using the little water data that we have. 24 00:01:10,997 --> 00:01:13,439 Our biggest water problems persist 25 00:01:13,439 --> 00:01:15,644 because of what we don't do, 26 00:01:15,644 --> 00:01:18,404 and the problems we fail to acknowledge. 27 00:01:19,366 --> 00:01:23,057 There's actually little question about what today's water data 28 00:01:23,057 --> 00:01:25,808 is telling us to do as a species. 29 00:01:25,808 --> 00:01:27,679 We need to conserve more 30 00:01:27,679 --> 00:01:29,154 and we need to pollute less. 31 00:01:30,013 --> 00:01:34,943 But today's data is not going to help us forecast the emerging risks 32 00:01:34,943 --> 00:01:37,255 facing businesses and markets. 33 00:01:37,255 --> 00:01:39,929 It's rapidly becoming useless for that. 34 00:01:39,929 --> 00:01:42,179 It used to carry more value, 35 00:01:42,179 --> 00:01:46,260 but it's never actually told us with any real accuracy 36 00:01:46,260 --> 00:01:49,286 how much water we have or what's in it. 37 00:01:49,286 --> 00:01:54,485 Let's consider the past decade of water usage statistics 38 00:01:54,485 --> 00:01:56,799 from each of the G20 nations. 39 00:01:56,799 --> 00:01:59,445 Now what these numbers do not tell you 40 00:01:59,445 --> 00:02:03,613 is that none of these countries directly measures how much water they use. 41 00:02:04,443 --> 00:02:05,826 These are all estimates, 42 00:02:05,826 --> 00:02:08,588 and they're based on outdated models 43 00:02:08,588 --> 00:02:11,138 that don't consider the climate crisis, 44 00:02:11,138 --> 00:02:15,479 nor do they consider its impact on water. 45 00:02:16,244 --> 00:02:20,309 In 2015, Chennai, India's sixth-largest city, 46 00:02:20,309 --> 00:02:23,513 was hit with the worst floods it had seen in a century. 47 00:02:25,085 --> 00:02:28,575 Today, its water reservoirs are nearly dry. 48 00:02:29,106 --> 00:02:32,129 It took three years to get here, 49 00:02:32,129 --> 00:02:34,427 three years of sub-average rainfall. 50 00:02:34,427 --> 00:02:38,965 Now, that's faster than most nations tabulate their national water data, 51 00:02:38,965 --> 00:02:41,376 including the US, 52 00:02:41,376 --> 00:02:46,680 and although there were forecasts that predicted severe shortages 53 00:02:46,680 --> 00:02:48,378 of water in Chennai, 54 00:02:48,378 --> 00:02:50,795 none of them could actually help us pinpoint 55 00:02:50,795 --> 00:02:53,383 exactly when or where this was going to happen. 56 00:02:53,750 --> 00:02:56,865 This is a new type of water problem, 57 00:02:56,865 --> 00:03:02,202 because the rate at which every aspect of our water cycle changes 58 00:03:02,202 --> 00:03:03,496 is accelerating. 59 00:03:03,496 --> 00:03:06,943 As a recent UN warning this month revealed, 60 00:03:06,943 --> 00:03:12,208 we are now facing one new climate emergency every single week. 61 00:03:14,312 --> 00:03:17,566 There are greater uncertainties ahead for water quality. 62 00:03:17,566 --> 00:03:20,687 It's rare in most countries for most water bodies 63 00:03:20,687 --> 00:03:24,176 to be tested for more than a handful of contaminants in a year. 64 00:03:24,176 --> 00:03:27,360 Instead of testing, we use what's called the dilution model 65 00:03:27,360 --> 00:03:28,978 to manage pollution. 66 00:03:29,337 --> 00:03:32,908 Now imagine I took an Olympic-sized swimming pool, 67 00:03:32,908 --> 00:03:36,264 I filled it with fresh water, and I added one drop of mercury. 68 00:03:36,264 --> 00:03:39,109 That would dilute down to one part per billion mercury, 69 00:03:39,109 --> 00:03:41,538 which is well within what the World Health Organization 70 00:03:41,538 --> 00:03:42,776 considers safe. 71 00:03:43,331 --> 00:03:45,623 But if there was any unforeseen drop 72 00:03:45,623 --> 00:03:47,551 in how much water was available -- 73 00:03:47,551 --> 00:03:48,707 less groundwater, 74 00:03:48,707 --> 00:03:50,879 less stream flow, 75 00:03:50,879 --> 00:03:52,518 less water in the pool -- 76 00:03:52,518 --> 00:03:54,482 less dilution would take place 77 00:03:54,482 --> 00:03:57,303 and things would get more toxic. 78 00:03:57,303 --> 00:04:00,691 So this is how most countries are managing pollution. 79 00:04:00,691 --> 00:04:04,034 They use this model to tell them how much pollution is safe, 80 00:04:04,034 --> 00:04:06,477 and it has clear weaknesses, 81 00:04:06,477 --> 00:04:08,961 but it worked well enough when we had abundant water 82 00:04:08,961 --> 00:04:12,006 and consistent weather patterns. 83 00:04:12,006 --> 00:04:15,906 Now that we don't, we're going to need to invest and develop 84 00:04:15,906 --> 00:04:18,348 new data collection strategies. 85 00:04:18,348 --> 00:04:23,008 But before we do that, we have to start acting on the data we already have. 86 00:04:23,008 --> 00:04:25,492 This is a jet fuel fire. 87 00:04:25,492 --> 00:04:27,124 As many of you may be aware, 88 00:04:27,124 --> 00:04:30,536 jet fuel emissions play an enormous role in climate change. 89 00:04:30,536 --> 00:04:34,238 What you might not be aware of is that the US Department of Defense 90 00:04:34,238 --> 00:04:36,772 is the world's largest consumer of jet fuel, 91 00:04:36,772 --> 00:04:40,724 and when they consume jet fuel, they mandate the use 92 00:04:40,724 --> 00:04:42,847 of the firefighting foam pictured here, 93 00:04:42,847 --> 00:04:46,097 which contains a class of chemicals called PFAS. 94 00:04:46,097 --> 00:04:49,912 Nobody uses more of this foam than the US Department of Defense, 95 00:04:49,912 --> 00:04:54,852 and every time it's used, PFAS finds its way into our water systems. 96 00:04:54,852 --> 00:04:59,511 Globally, militaries have been using this foam since the 1970s. 97 00:04:59,511 --> 00:05:02,157 We know PFAS causes cancer, birth defects, 98 00:05:02,157 --> 00:05:06,062 and it's now so pervasive in the environment 99 00:05:06,062 --> 00:05:10,491 that we seem to find it in nearly every living thing we test, 100 00:05:10,491 --> 00:05:12,509 including us. 101 00:05:12,509 --> 00:05:17,431 But so far, the US Department of Defense has not been held accountable 102 00:05:17,431 --> 00:05:19,359 for PFAS contamination, 103 00:05:19,359 --> 00:05:21,125 nor has it been held liable, 104 00:05:21,125 --> 00:05:25,257 and although there's an effort underway to phase out these firefighting foams, 105 00:05:25,257 --> 00:05:28,737 they're not embracing safer, effective alternatives. 106 00:05:28,737 --> 00:05:31,547 They're actually using other PFAS molecules, 107 00:05:31,547 --> 00:05:36,186 which may for all we know carry worse health consequences. 108 00:05:36,864 --> 00:05:44,471 So today, government accountability is eroding to the point of elimination, 109 00:05:44,471 --> 00:05:49,367 and the risk of liability from water pollution is vanishing. 110 00:05:49,367 --> 00:05:54,370 What types of incentives does this create for investing in our water future? 111 00:05:55,254 --> 00:06:01,244 Over the past decade, the average early stage global investment 112 00:06:01,244 --> 00:06:01,769 in early stage water technology companies 113 00:06:01,769 --> 00:06:02,019 has totaled less than 30 million dollars every year. 114 00:06:02,019 --> 00:06:11,748 That's 0.12 percent of global venture capital for early stage companies. 115 00:06:11,748 --> 00:06:19,888 And public spending is not going up nearly fast enough, 116 00:06:19,888 --> 00:06:24,674 and a closer look at it reveals water is not a priority. 117 00:06:24,674 --> 00:06:27,285 In 2014, the US Federal Government was spending 11 dollars per citizen 118 00:06:27,285 --> 00:06:31,890 on water infrastructure 119 00:06:31,890 --> 00:06:36,590 versus 251 dollars on IT infrastructure. 120 00:06:36,590 --> 00:06:40,166 So when we don't use the data we have, 121 00:06:40,166 --> 00:06:42,753 we don't encourage investment in new technologies, 122 00:06:42,753 --> 00:06:44,952 we don't encourage more data collection, 123 00:06:44,952 --> 00:06:50,363 and we certainly don't encourage investment in securing a water future. 124 00:06:50,363 --> 00:06:52,741 So are we doomed? 125 00:06:52,741 --> 00:06:55,478 Part of what I'm still learning 126 00:06:55,478 --> 00:07:02,014 is how to balance the doom and the urgency with things we can do, 127 00:07:02,014 --> 00:07:03,688 because Greta Thunberg and the Extinction Rebellion 128 00:07:03,688 --> 00:07:05,686 don't want our hope, they want us to act. 129 00:07:05,686 --> 00:07:07,608 So what can we do? 130 00:07:07,608 --> 00:07:13,372 It's hard to imagine life without a weather service, 131 00:07:13,372 --> 00:07:15,326 but before modern weather forecasting, 132 00:07:15,326 --> 00:07:17,480 we had no commercial air travel, 133 00:07:17,480 --> 00:07:20,978 it was common for ships to be lost at sea, 134 00:07:20,978 --> 00:07:23,948 and a single storm could produce a food shortage. 135 00:07:25,427 --> 00:07:28,240 Once we had radio and telegraph networks, 136 00:07:28,240 --> 00:07:31,485 all that was necessary to solve these problems 137 00:07:31,485 --> 00:07:33,966 was tracking the movement of storms. 138 00:07:33,966 --> 00:07:39,639 And that laid the foundation for a global data collection effort, 139 00:07:39,639 --> 00:07:43,850 one that every household and every business depends upon today. 140 00:07:44,201 --> 00:07:45,487 And this was as much 141 00:07:45,487 --> 00:07:47,922 the result of coordinated and consistent data collection 142 00:07:47,922 --> 00:07:53,328 as it was the result of producing a culture that saw greater value 143 00:07:53,328 --> 00:07:57,465 in openly assessing and sharing everything that it could find out 144 00:07:57,465 --> 00:07:59,795 and discover about the risks we face. 145 00:08:01,307 --> 00:08:05,115 A global weather service for water would help us forecast water shortages. 146 00:08:05,115 --> 00:08:11,942 It could help us implement rationing well before reservoirs run dry. 147 00:08:11,942 --> 00:08:15,463 It could help us attack contamination before it spreads. 148 00:08:15,463 --> 00:08:17,831 It could protect our supply chains, 149 00:08:17,831 --> 00:08:19,727 secure our food supplies, 150 00:08:19,727 --> 00:08:21,475 and, perhaps most importantly, 151 00:08:21,475 --> 00:08:24,928 it would enable the precise estimation of risk 152 00:08:24,928 --> 00:08:28,348 necessary to ensure against it. 153 00:08:28,348 --> 00:08:31,442 We know we can do this because we've already done it with weather, 154 00:08:31,442 --> 00:08:33,346 but it's going to require resources. 155 00:08:33,346 --> 00:08:37,440 We need to encourage greater investment in water. 156 00:08:37,440 --> 00:08:39,649 Investors, venture capitalists, 157 00:08:39,649 --> 00:08:41,899 a portion of your funds and portfolios 158 00:08:41,899 --> 00:08:44,017 should be dedicated to water. 159 00:08:44,017 --> 00:08:45,584 Nothing is more valuable, 160 00:08:45,584 --> 00:08:49,230 and after all, businesses are going to need to understand water risks 161 00:08:49,230 --> 00:08:52,906 in order to remain competitive in the world we are entering. 162 00:08:53,284 --> 00:08:55,717 Aside from venture capital, 163 00:08:55,717 --> 00:08:59,383 there are also lots of promising government programs 164 00:08:59,383 --> 00:09:02,897 that encourage economic development through tax incentives. 165 00:09:02,897 --> 00:09:07,161 A new option in the US that my company is using 166 00:09:07,161 --> 00:09:08,414 is called opportunity zones. 167 00:09:08,414 --> 00:09:10,978 They offer favorable tax treatment for investing capital gains 168 00:09:10,978 --> 00:09:11,228 in designated distressed and low-income areas. 169 00:09:15,369 --> 00:09:16,960 Now, these are areas 170 00:09:16,960 --> 00:09:19,679 that are also facing staggering water risk, 171 00:09:19,679 --> 00:09:23,187 so this creates crucial incentives to work directly with the communities 172 00:09:23,187 --> 00:09:24,780 who need help most. 173 00:09:24,780 --> 00:09:29,652 And if you're not looking to make this type of investment 174 00:09:29,652 --> 00:09:31,558 but you own land in the US, 175 00:09:31,558 --> 00:09:34,659 did you know that you can leverage your land 176 00:09:34,659 --> 00:09:39,517 to conserve water quality permanently 177 00:09:39,517 --> 00:09:40,036 with a conservation easement? 178 00:09:40,036 --> 00:09:43,137 You can assign the perpetual right to a local land trust 179 00:09:43,137 --> 00:09:44,994 to conserve your land 180 00:09:44,994 --> 00:09:46,634 and set specific water quality goals, 181 00:09:46,634 --> 00:09:50,276 and if you meet those goals, 182 00:09:50,276 --> 00:09:54,658 you can be rewarded with a substantial tax discount every year. 183 00:09:54,658 --> 00:09:58,780 How many areas could our global community protect 184 00:09:58,780 --> 00:10:02,138 through these and other programs? 185 00:10:02,138 --> 00:10:05,942 They're powerful because they offer the access to real property 186 00:10:05,942 --> 00:10:09,944 necessary to lay the foundation for a global weather service for water. 187 00:10:10,741 --> 00:10:12,975 But this can only work 188 00:10:12,975 --> 00:10:17,055 if we use these programs as they are intended 189 00:10:17,055 --> 00:10:20,342 and not as mere vehicles for tax evasion. 190 00:10:21,358 --> 00:10:23,653 When the conservation easement was established, 191 00:10:23,653 --> 00:10:25,592 nobody could anticipate how ingrained 192 00:10:25,592 --> 00:10:29,096 in environmental movements corporate polluters would become, 193 00:10:29,096 --> 00:10:34,360 and we've become accustomed to companies talking about the climate crisis 194 00:10:34,360 --> 00:10:36,893 while doing nothing about it. 195 00:10:37,905 --> 00:10:42,368 This has undermined the legacy and the impact of these programs, 196 00:10:42,674 --> 00:10:45,379 but it also makes them ripe for reclamation. 197 00:10:45,379 --> 00:10:48,581 Why not use conservation easements as they were intended, 198 00:10:48,581 --> 00:10:53,023 to set and reach ambitious conservation goals? 199 00:10:53,023 --> 00:10:57,044 Why not create opportunities in opportunity zones? 200 00:10:57,044 --> 00:11:02,556 Because fundamentally, water security requires accountability. 201 00:11:02,556 --> 00:11:08,453 Accountability is not corporate polluters sponsoring environmental groups 202 00:11:08,453 --> 00:11:10,285 and museums. 203 00:11:10,285 --> 00:11:14,026 Those are conflicts of interest. 204 00:11:14,026 --> 00:11:16,332 (Applause) 205 00:11:18,523 --> 00:11:25,515 Accountability is making the risk of liability too expensive 206 00:11:25,515 --> 00:11:28,707 to continue polluting and wasting our water. 207 00:11:28,707 --> 00:11:32,748 We can't keep settling for words. It's time to act. 208 00:11:32,748 --> 00:11:35,940 And where better to start than with our biggest polluters? 209 00:11:35,940 --> 00:11:41,042 Particularly the US Department of Defense, which is taxpayer-funded. 210 00:11:41,042 --> 00:11:44,692 Who and what are protecting when US soldiers, their families, 211 00:11:44,692 --> 00:11:48,400 and the people who live near US military bases abroad 212 00:11:48,400 --> 00:11:51,178 are all drinking toxic water? 213 00:11:51,178 --> 00:11:55,395 Global security can no longer remain at odds with protecting our planet 214 00:11:55,395 --> 00:11:57,504 or our collective health. 215 00:11:57,504 --> 00:11:59,675 Our survival depends on it. 216 00:11:59,675 --> 00:12:01,207 Similarly, 217 00:12:01,520 --> 00:12:05,419 agriculture in most countries depends on taxpayer-funded subsidies 218 00:12:05,419 --> 00:12:10,444 that are paid to farmers to secure and stabilize food supplies. 219 00:12:10,444 --> 00:12:14,632 These incentives are a crucial leverage point for us, 220 00:12:14,632 --> 00:12:18,876 because agriculture is responsible for consuming 70 percent 221 00:12:18,876 --> 00:12:21,234 of all the water we use every year. 222 00:12:21,869 --> 00:12:24,970 Fertilizer and pesticide runoff 223 00:12:24,970 --> 00:12:27,666 are the two biggest sources of water pollution. 224 00:12:27,666 --> 00:12:31,368 Let's restructure these subsidies to demand better water efficiency 225 00:12:31,368 --> 00:12:33,190 and less pollution. 226 00:12:33,190 --> 00:12:38,643 (Applause) 227 00:12:38,643 --> 00:12:43,591 Finally, we can't expect progress if we're unwilling to confront 228 00:12:43,591 --> 00:12:46,800 the conflicts of interest that suppress science, 229 00:12:46,800 --> 00:12:48,690 that undermine innovation, 230 00:12:48,690 --> 00:12:51,155 and discourage transparency. 231 00:12:51,155 --> 00:12:56,255 It is in the public interest to measure and to share everything we can learn 232 00:12:56,255 --> 00:12:59,818 and discover about the risks we face in water. 233 00:12:59,818 --> 00:13:03,392 Reality does not exist until it's measured. 234 00:13:03,392 --> 00:13:07,590 It doesn't just take technology to measure it, 235 00:13:07,590 --> 00:13:09,375 it takes our collective will. 236 00:13:09,375 --> 00:13:11,541 Thank you. 237 00:13:11,541 --> 00:13:15,195 (Applause)